Journals
Books
Articles by keyword recurrent neural network
Bulev factorial analysis by means of attractor neural network and its some appendices
A. A. Frolov, D. Gusek, P. Yu. Polyakov
The recurrent neural network with managed synapses for handwriting recognition of coherent text
I.K. Belova - Ph.D.(Phys.-Math.), Associate professor, Chair - Software, information technologies, and applied mathematics?, Kaluga branch of the Bauman MSTU
E. O. Deriugina - Ph.D.(Eng.), Associate professor, Chair - Computer systems, complexes, and networks?, Kaluga branch of the Bauman MSTU
Specificities of computer simulation of spiking recurrent neural networks
E.N. Benderskaya - Ph.D. (Eng.), St.-Petersburg State Polytechnical University. E-mail: helen.bend@gmail.com
K.V. Nikitin - Post-graduate Student, St.-Petersburg State Polytechnical University. E-mail: execiter@mail.ru
Optimization of language models based on recurrent neural networks with momentum
D. I. Ozornin - Post-graduate Student, Yandex LLC, Moscow. E-mail: denioz.25@gmail.com
Using recurrent neural networks for probabilistic classification of the processor architecture of executable files

A. A. Gladkikh¹, M. O. Komakhin², A. V. Simankov³, D. A. Uzenkov4

1, 2, 4 Department IU4 of Designing and Technology of Electronic Equipment, Bauman Moscow State Technical University (Moscow, Russia)

1–4  JSC “INFORION” (Moscow, Russia)

The use of artificial neural networks on examples of large IT projects

N.S. Konnova – PhD (Eng.), Associate Professor, Bauman Moscow State Technical University

E-mail: nkonnova@bmstu.ru

Neural network methods for integral structure non-destructive testing

A. Yu. Viryasova – Master, Bauman Moscow State Technical University

E-mail: virnastya@yandex.ru

A. I. Vlasov – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: vlasovai@bmstu.ru

A. A. Gladkikh – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: a.gladkikh@inforion.ru

Deep learning in medical diagnostics and control of the functions of the artificial respiration system

B.I. Ismailov1

1 Azerbaijan State University of Oil and Industry (Baku, Azerbaijan)

RNN-based method to classify human natural emotional states from speech

A.K. Alimuradov1, A.Yu. Tychkov2, M.I. Yuskaev3, D.S. Dudnikov4, M.A. Tyurin5, P.P. Churakov6, Z.M. Yuldashev7

1–6 Penza State University (Penza, Russia)

7 St. Petersburg State Electrotechnical University "LETI" (Saint Petersburg, Russia)

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Determination of railway switch state using a recurrent neural network classifier

V.A. Kanarsky1

1 Far Eastern State University of Railway Transport (Khabarovsk, Russia)

1 jizzierose@yahoo.com

Extrapolation of trajectories in radar images using recurrent neural networks

V.V. Dudihin1, E.A. Kuzina2, I.Y. Mezhuev3, S.A. Rylov4, I.Y. Yakupov5

1 Moscow State University (Moscow, Russia)
2,4,5 JSC Distant Radiocommunication Scientific Research Institute (Moscow, Russia)
3 Plekhanov Russian University of Economics (Moscow, Russia)
1 dudikhin@spa.msu.ru, 2 ekkuzina@npodr.ru, 3 Mezhuev.IY@rea.ru, 4 srylov@npodr.ru, 5 iyakupov@npodr.ru

Neural network model for recognizing long and short QT syndrome on ECG

D.N. Klypin1, A.E. Sulavko2, A.E. Sulavko3, Yu.A. Varkentin4, A.M. Vulfin5

1,2,4,5 Omsk State Technical University (Omsk, Russia)
3 BUKOO Medical and Sanitary Unit No. 4 (Omsk, Russia)
1 lan@omgtu.ru, 2 sulavich@mail.ru, 3 borya.zhizha@mail.ru, 4 varkentinyuri@gmail.com, 5 vulfin.alexey@gmail.com

Coordinate prediction of spacecraft using neural networks

A.V. Ksendzuk1, A.V. Semin2, M.K. Melkumyan3

1,2 MIREA – Russian Technological University (Moscow, Russia)
3 Public Joint-Stock Company Interstate Joint-Stock Corporation Vympel (Moscow, Russia)
1–3 sinritzen@yandex.ru

Application of hybrid neural networks to predict changes in the technical condition of a railway track

M.A. Ludagovskaya1, E.D. Larionova2
1, 2 Russian University of Transport (MIIT) (Moscow, Russia)

1 m.ludagovskaya@gmail.com, 2 Eva.sh.2363@gmail.com

Hybrid deep learning model for time series forecasting

A.V. Gulyaev1
1 Russian State Social University (Moscow, Russia)

1 Gulyaev81@gmail.com

Development of a conversion and segmentation subsystem for mobile heart rate monitoring devices based on the decomposition of recurrent neural networks

A.A. Mikheev1, Yu.A. Chelebaeva2, S.V. Chelebaev3

1–3 FSBEI HE “Ryazan State Radio Engineering University named after V.F. Utkin” (Ryazan, Russia)

3 sergeychelr@yandex.ru